Diagnostic Device Automation
Machine vision automates testing and reduces errors
Edge learning is an AI-based technology used for inspections and other judgement-based tasks
Diagnostic device manufacturers know that automation is critical to success. Diagnostic devices rely on accurate measurements of their reagents and results. They also depend on accurate test setups that provide the instrument with precise data so that the tests are always performed uniformly.
In devices performing everything from simple diagnostic tests to sophisticated DNA analysis, machine vision can help improve efficiency and increase throughput. Machine vision automates the diagnostic devices and accessories that perform tests on samples, such as blood, urine, and tissue. Automating diagnostic devices helps the healthcare industry to drastically reduce potential errors, and more accurately help detect infection, diagnose medical conditions, prevent disease, and monitor drug therapies.